As the Data Analyst on the Customer Insights and Analytics team, you will play a critical role in shaping our strategy and driving data-driven decision-making in increasing revenue and net customer retention.
You will be responsible for leading high-impact projects, leveraging data and analytics to gain deep insights into our operations, students, and customer base and providing recommendations while streamlining data processes and establishing a future data roadmap.
Your work will directly impact our C-suite leadership and key customer decision-makers to become raving fans of FEV Tutor.
KEY RESPONSIBILITIES :
– Collaborate closely with multiple stakeholders, providing data-driven insights and recommendations.
Work towards streamlining existing data flows and processes, while charting the future data roadmap for the organization.
– Apply strong experience across all data stages, including Data Exploration, Analysis, Synthesis, and Presentation.
– Identify trends and patterns in the data, translating them into compelling narratives and recommendations for leadership and clients to facilitate better decision-making.
– Drive data transformation projects to automate all reports and dashboards, ensuring quality and accuracy of data.
– Leverage your experience in connecting with diverse data sources, including SQL Server, Oracle data warehouses, and Excel files, to build complex datasets.
– Create automated real-time dashboards using analytics tools such as Power BI, Tableau, and Oracle Analytics Cloud (OAC).
– Demonstrate strong experience and knowledge of Power BI visualization tools and a willingness to master other BI tools as needed based on business requirements.
– Build relationships between various datasets and harness DAX queries and functions effectively.
– Utilize your expertise in On-Premise Data Gateways to schedule automated data refreshes.
– Implement and manage Power BI application security layer models.
– Demonstrate leadership skills by leading, mentoring & and motivating a team of junior resources.
– Participate in cross-functional special projects.
– Play a role in the end-to-end project lifecycle: Gather stakeholder requirements, create a project plan, work on the actual data analysis and build reports and dashboards, presenting the insights back to stakeholders.
– Good experience in statistical tools like R/Python/SQL and techniques like Classification and regression for descriptive, prescriptive, and predictive analytics.
– Showcase strong storyboarding and presentation (PPT) skills to communicate insights and recommendations clearly to diverse stakeholders.
SUCCESS PROFILE
Who you are :
– Hold a bachelor’s degree in a relevant field (Business Analytics, Data Science, Statistics), with a master’s degree considered a strong asset.
– Demonstrated expertise (2 – 5 years) in data analytics, business intelligence, or similar roles, with proficiency in visualization tools in Power BI
– Strong project management skills.
– Demonstrated the ability to drive projects independently and also through team members.
– Strong analytics and problem-solving acumen and acute attention to detail with a keen ability to transform complex data into actionable insights.
– Good to have proficiency in data analysis tools like Python, R, SQL, or equivalent and advanced-level-computations on datasets.
– Previous experience in team handling is highly valued, as it indicates strong leadership skills.
– Excellent verbal and written communication skills for effectively conveying complex data-driven insights.
– Ability to articulate insights in an effective manner to leadership and clients
BEHAVIORAL :
– Be self-motivated and entrepreneurial by nature.
– Proactively seek opportunities to innovate and drive improvements.
– Passionate about solving complex data problems.
– Excellent team player
How to Apply:
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
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- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
